MCDMNormalizationcrisp
对数归一化 — 用于乘法聚合情境的对数比列归一化
对数归一化（LOGARITHMIC-NORMALIZATION — 用于乘法聚合情境的对数比列归一化）是一种多准则决策（MCDM）方法，由 Zavadskas, E. K., Turskis, Z. 于 2008 年提出。它将评分多个准则的备选方案的决策矩阵转化为结构化、可复现的结果。
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来源
- Zavadskas, E. K., Turskis, Z. (2008). A new logarithmic normalization method in games theory. Informatica DOI: 10.15388/informatica.2008.215 ↗
如何引用本页
ScholarGate. (2026, June 2). Logarithmic Normalization — log-ratio column normalisation for multiplicative aggregation contexts. ScholarGate. https://scholargate.app/zh/decision-making/logarithmic-normalization
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